Easy and simple ML/DL model building and learning
Supports Kubeflow, an open source MLOps platform built on Kubernetes. On Kubeflow, you can conveniently manage models and data or use various open source tools on a unified Kubeflow-native MLOps environment.
Various machine learning frameworks from Tensorflow, Pytorch, Scikit-learn to Keras are supported on Kubeflow. Repetitive tasks across ML pipeline from model development, learning to deployment can be automated end-to-end, making it easier to create, configure, or re-use models.
Kubernetes-based Machine Learning Platform
Automatically Extract Text and Data from Documents
API Service that Understands and Analyzes the Meaning of Sentences/Texts
API Service that Recognizes and Analyzes Information from Images
Manages Champion Model by Recording and Comparing Experiment Information of AI model learning
Provides a Jupyter Notebook Environment to Construct Data Analysis Model
Manages the Learning and Execution History of AI Analytics Model in Pipeline
Provides IDE Workflow for Building and Learning Analysis Models